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Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-3

  • This period covers praise given between 2021-08-31 and 2021-09-29.
  • We allocated a total of 4020 TEC tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 4 quantifiers per praise instance.
  • Praise receiver names were hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating distribution¶

Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
55.0 natesuits#4789 for the herculean effort that must have gone into pulling all these docs together in one place as TEC Source. This is a very helpful resource for everyone! https://app.gitbook.com/@token-engineering-commons/s/tec-source/
51.75 divine_comedian#5493 for making the CCD beautiful 🦄
51.0 fabiomendes#4802 for their brazilian hacking skills on the CCD
48.5 kristofer#1475 for his leadership in both the rewards channel and the Trusted Seed with the Commons Stack, which of course was critical for the TEC (and will be critical for other groups)
47.75 iviangita#3204 for finding out our twitter account as block and fix it super quick!!⚡ (We need to be carefull with bots)
45.35 VitorNunes#0090 for their magic on the CCD
44.75 natesuits#4789 for creating TEC Source! https://app.gitbook.com/@token-engineering-commons/s/tec-source/
44.5 natesuits#4789 for being the 3rd and 4rd Graviton training facilitators 🙂
43.75 r33pich33p#6906 for hacking on the Sunday Funday Params Party - aka the 4 hour hack sesh
43.25 natesuits#4789 for hacking on the Sunday Funday Params Party - aka the 4 hour hack sesh

Praise Reward Distribution¶

We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.

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Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.

Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .

Praise score by quantifier -- outliers among the quantifiers?¶

Let's see how different quantifiers behaved by showing the range of praise scores they gave.

To interpret the box plot:

  • Bottom horizontal line of box plot is minimum value

  • First horizontal line of rectangle shape of box plot is First quartile or 25%

  • Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.

  • Third horizontal line of rectangle shape of box plot is third quartile or 75%

  • Top horizontal line of rectangle shape of box plot is maximum value.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 1417 praises, 401 (28.00%) do not agree on duplication

Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.

Agreement on dismissal¶

Out[25]:

Among 1417 praises, 191 (13.34%) do not agree on dismissal

Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.